Senior AI Engineer

November 5

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Codvo.ai

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AI • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads. • Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context. • Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines. • Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications. • Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines. • Ensure data quality, consistency, and security throughout the ingestion process. • Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications. • Develop and maintain APIs for seamless communication between AI services and backend systems. • Monitor and optimize the performance of integrated AI services within the Generative AI pipeline. • Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources. • Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI. • Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications. • Design, develop, and maintain backend services that support Generative AI applications. • Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads. • Implement monitoring and logging systems for backend services and pipelines supporting Generative AI. • Troubleshoot and resolve backend-related issues impacting Generative AI applications.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems. • Proven experience in designing and implementing data ingestion and processing pipelines. • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. • Expertise in Python and relevant AI/ML libraries. • Strong understanding of AI infrastructure and deployment strategies. • Experience with data engineering and data processing techniques. • Proficiency in software development principles and best practices. • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience with version control (Git). • Experience with RESTful APIs and API development. • Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval. • Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs). • Experience with integrating and managing Generative AI services. • Understanding of RAG pipelines and their application in Generative AI. • Experience with prompt engineering for LLMs in Generative AI contexts.

🏖️ Benefits

• Professional development opportunities • Flexible working hours